add tanh_triple_grad composite logic (#56072) (#58657)

* decompose tanh_triple_grad and add it into prim_white_list test=develop

* fix TanhTripleGradKernel bugs test=develop

* decompose tanh_triple_grad test=develop

Author: lxd-cumt

paddle/fluid/eager/auto_code_generator/generator/eager_gen.py

@@ -69,6 +69,7 @@
     "subtract_double_grad",
     "add_triple_grad",
     "silu_double_grad",
+    "tanh_triple_grad",
 ]
 
 # dict of special api that forward api's output will affect bacward api's output

paddle/fluid/prim/api/composite_backward/composite_double_backward_api.h

@@ -53,6 +53,76 @@ void tanh_double_grad(const Tensor& out,
   }
 }
 
+template <typename T>
+void tanh_triple_grad(const Tensor& out,
+                      const Tensor& grad_out_forward,
+                      const Tensor& grad_x_grad_forward,
+                      const paddle::optional<Tensor>& grad_out_new_grad,
+                      const paddle::optional<Tensor>& grad_out_grad_grad,
+                      Tensor* out_grad,
+                      Tensor* grad_out_forward_grad,
+                      Tensor* grad_x_grad_forward_grad) {
+  if (out_grad) {
+    if (grad_out_grad_grad) {
+      if (grad_out_new_grad) {
+        auto out_grad_tmp =
+            (-2 * out * grad_x_grad_forward * grad_out_grad_grad.get()) -
+            (2 * grad_out_forward * grad_x_grad_forward *
+             grad_out_new_grad.get());
+        set_output<T>(out_grad_tmp, out_grad);
+      } else {
+        auto out_grad_tmp =
+            -2 * out * grad_x_grad_forward * grad_out_grad_grad.get();
+        set_output<T>(out_grad_tmp, out_grad);
+      }
+    } else {
+      if (grad_out_new_grad) {
+        auto out_grad_tmp = -(2 * grad_out_forward * grad_x_grad_forward *
+                              grad_out_new_grad.get());
+        set_output<T>(out_grad_tmp, out_grad);
+      } else {
+        auto out_grad_tmp = 0 * out;
+        set_output<T>(out_grad_tmp, out_grad);
+      }
+    }
+  }
+
+  if (grad_out_forward_grad) {
+    if (grad_out_new_grad) {
+      auto grad_out_forward_grad_tmp =
+          -2 * out * grad_x_grad_forward * grad_out_new_grad.get();
+      set_output<T>(grad_out_forward_grad_tmp, grad_out_forward_grad);
+    } else {
+      auto grad_out_forward_grad_tmp = 0 * out;
+      set_output<T>(grad_out_forward_grad_tmp, grad_out_forward_grad);
+    }
+  }
+
+  if (grad_x_grad_forward_grad) {
+    if (grad_out_grad_grad) {
+      if (grad_out_new_grad) {
+        auto grad_x_grad_forward_grad_tmp =
+            (1 - (out * out)) * grad_out_grad_grad.get() -
+            2 * out * grad_out_forward * grad_out_new_grad.get();
+        set_output<T>(grad_x_grad_forward_grad_tmp, grad_x_grad_forward_grad);
+      } else {
+        auto grad_x_grad_forward_grad_tmp =
+            (1 - (out * out)) * grad_out_grad_grad.get();
+        set_output<T>(grad_x_grad_forward_grad_tmp, grad_x_grad_forward_grad);
+      }
+    } else {
+      if (grad_out_new_grad) {
+        auto grad_x_grad_forward_grad_tmp =
+            -(2 * out * grad_out_forward * grad_out_new_grad.get());
+        set_output<T>(grad_x_grad_forward_grad_tmp, grad_x_grad_forward_grad);
+      } else {
+        auto grad_x_grad_forward_grad_tmp = 0 * grad_x_grad_forward;
+        set_output<T>(grad_x_grad_forward_grad_tmp, grad_x_grad_forward_grad);
+      }
+    }
+  }
+}
+
 template <typename T>
 void matmul_double_grad(const Tensor& x,
                         const Tensor& y,

paddle/phi/api/yaml/backward.yaml

@@ -2144,6 +2144,7 @@
     param : [out, out, grad_x_grad_forward]
   kernel :
     func : tanh_triple_grad
+  composite : tanh_triple_grad(out, grad_out_forward, grad_x_grad_forward, grad_out_new_grad, grad_out_grad_grad, out_grad, grad_out_forward_grad, grad_x_grad_forward_grad)
   inplace : (grad_x_grad_forward -> grad_out_forward_grad)
   optional : grad_out_new_grad, grad_out_grad_grad
 

paddle/phi/kernels/impl/activation_grad_impl.h

@@ -189,11 +189,11 @@ void TanhTripleGradKernel(const Context& dev_ctx,
     dev_ctx.template Alloc<T>(d_dout);
   }
   if (d_out_new) {
-    d_dout->Resize(out.dims());
+    d_out_new->Resize(out.dims());
     dev_ctx.template Alloc<T>(d_out_new);
   }
   if (d_ddx) {
-    d_dout->Resize(ddx.dims());
+    d_ddx->Resize(ddx.dims());
     dev_ctx.template Alloc<T>(d_ddx);
   }
   funcs::TanhTripleGradFunctor<T> functor;